{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 空间数据分析(一) ——公园分布分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point,MultiPoint\n",
    "from shapely.ops import voronoi_diagram\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>addr</th>\n",
       "      <th>tel</th>\n",
       "      <th>lon</th>\n",
       "      <th>lat</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>人民公园</td>\n",
       "      <td>成都市区青羊区祠堂街9号</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.063684</td>\n",
       "      <td>30.663607</td>\n",
       "      <td>POINT (104.06368 30.66361)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>青龙湖湿地公园</td>\n",
       "      <td>成都市龙泉驿区成洛大道</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.199156</td>\n",
       "      <td>30.645796</td>\n",
       "      <td>POINT (104.19916 30.64580)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>天府公园</td>\n",
       "      <td>杭州路东段与蜀州路交叉口西南150米</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.085714</td>\n",
       "      <td>30.443121</td>\n",
       "      <td>POINT (104.08571 30.44312)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>香草湖湿地公园</td>\n",
       "      <td>四川省成都市郫都区蜀源大道二段</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.965884</td>\n",
       "      <td>30.844136</td>\n",
       "      <td>POINT (103.96588 30.84414)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>麓湖生态城红石公园</td>\n",
       "      <td>成都市天府新区华阳街道天府大道南一段</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.085120</td>\n",
       "      <td>30.466655</td>\n",
       "      <td>POINT (104.08512 30.46665)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>桂溪生态公园西区</td>\n",
       "      <td>四川省成都市武侯区天府一街北50米</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.067981</td>\n",
       "      <td>30.568993</td>\n",
       "      <td>POINT (104.06798 30.56899)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>桂溪生态公园东区</td>\n",
       "      <td>世纪城东路9号四川电视台对面</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.079769</td>\n",
       "      <td>30.568199</td>\n",
       "      <td>POINT (104.07977 30.56820)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>邛窑遗址公园</td>\n",
       "      <td>成都市邛崃市南河路</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.451982</td>\n",
       "      <td>30.406407</td>\n",
       "      <td>POINT (103.45198 30.40641)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>芙蓉长卷药博园</td>\n",
       "      <td>芙蓉大道与永宁大道交汇处东侧400米</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.938903</td>\n",
       "      <td>30.731913</td>\n",
       "      <td>POINT (103.93890 30.73191)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>人民的公园</td>\n",
       "      <td>蜀龙大道540号</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.158602</td>\n",
       "      <td>30.787245</td>\n",
       "      <td>POINT (104.15860 30.78724)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          name                addr  tel         lon        lat  \\\n",
       "0         人民公园        成都市区青羊区祠堂街9号  NaN  104.063684  30.663607   \n",
       "1      青龙湖湿地公园         成都市龙泉驿区成洛大道  NaN  104.199156  30.645796   \n",
       "2         天府公园  杭州路东段与蜀州路交叉口西南150米  NaN  104.085714  30.443121   \n",
       "3      香草湖湿地公园     四川省成都市郫都区蜀源大道二段  NaN  103.965884  30.844136   \n",
       "4    麓湖生态城红石公园  成都市天府新区华阳街道天府大道南一段  NaN  104.085120  30.466655   \n",
       "..         ...                 ...  ...         ...        ...   \n",
       "145   桂溪生态公园西区   四川省成都市武侯区天府一街北50米  NaN  104.067981  30.568993   \n",
       "146   桂溪生态公园东区      世纪城东路9号四川电视台对面  NaN  104.079769  30.568199   \n",
       "147     邛窑遗址公园           成都市邛崃市南河路  NaN  103.451982  30.406407   \n",
       "148    芙蓉长卷药博园  芙蓉大道与永宁大道交汇处东侧400米  NaN  103.938903  30.731913   \n",
       "149      人民的公园            蜀龙大道540号  NaN  104.158602  30.787245   \n",
       "\n",
       "                       geometry  \n",
       "0    POINT (104.06368 30.66361)  \n",
       "1    POINT (104.19916 30.64580)  \n",
       "2    POINT (104.08571 30.44312)  \n",
       "3    POINT (103.96588 30.84414)  \n",
       "4    POINT (104.08512 30.46665)  \n",
       "..                          ...  \n",
       "145  POINT (104.06798 30.56899)  \n",
       "146  POINT (104.07977 30.56820)  \n",
       "147  POINT (103.45198 30.40641)  \n",
       "148  POINT (103.93890 30.73191)  \n",
       "149  POINT (104.15860 30.78724)  \n",
       "\n",
       "[150 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 生成导入公园图层\n",
    "\n",
    "# 1. 读取csv文件\n",
    "parks = pd.read_csv('./data/parks.csv', encoding='gbk')\n",
    "# 2. 生成几何信息\n",
    "geoms = gpd.points_from_xy(parks.lon, parks.lat)\n",
    "# 3. 构建图层\n",
    "parkslayer = gpd.GeoDataFrame(parks, geometry=geoms)\n",
    "# 4. 绘制图层\n",
    "parkslayer.plot()\n",
    "plt.show()\n",
    "parkslayer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>DISTNAME</th>\n",
       "      <th>DISTCODE</th>\n",
       "      <th>CITYCODE</th>\n",
       "      <th>PROVCODE</th>\n",
       "      <th>CITYNAME</th>\n",
       "      <th>PROVNAME</th>\n",
       "      <th>SHAPE_LENG</th>\n",
       "      <th>Shape_Le_1</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>简阳市</td>\n",
       "      <td>512081</td>\n",
       "      <td>512000</td>\n",
       "      <td>510000</td>\n",
       "      <td>资阳市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.894016</td>\n",
       "      <td>2.894016</td>\n",
       "      <td>0.208108</td>\n",
       "      <td>POLYGON ((104.87300 30.51160, 104.87300 30.511...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>锦江区</td>\n",
       "      <td>510104</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.543100</td>\n",
       "      <td>0.543100</td>\n",
       "      <td>0.005721</td>\n",
       "      <td>POLYGON ((104.13780 30.62028, 104.13918 30.620...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>青羊区</td>\n",
       "      <td>510105</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.638742</td>\n",
       "      <td>0.638740</td>\n",
       "      <td>0.006232</td>\n",
       "      <td>POLYGON ((103.94156 30.72649, 103.94223 30.725...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>金牛区</td>\n",
       "      <td>510106</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.076539</td>\n",
       "      <td>1.076541</td>\n",
       "      <td>0.010065</td>\n",
       "      <td>POLYGON ((104.13695 30.74670, 104.13652 30.746...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>成华区</td>\n",
       "      <td>510108</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.768822</td>\n",
       "      <td>0.768824</td>\n",
       "      <td>0.010192</td>\n",
       "      <td>POLYGON ((104.13695 30.74670, 104.13795 30.744...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>龙泉驿区</td>\n",
       "      <td>510112</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.335728</td>\n",
       "      <td>1.335729</td>\n",
       "      <td>0.052623</td>\n",
       "      <td>POLYGON ((104.43712 30.66993, 104.43719 30.669...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>青白江区</td>\n",
       "      <td>510113</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.348517</td>\n",
       "      <td>1.348519</td>\n",
       "      <td>0.036493</td>\n",
       "      <td>POLYGON ((104.34159 30.90460, 104.34202 30.904...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>新都区</td>\n",
       "      <td>510114</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.697892</td>\n",
       "      <td>1.697894</td>\n",
       "      <td>0.045477</td>\n",
       "      <td>POLYGON ((104.14722 30.91626, 104.14741 30.916...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>温江区</td>\n",
       "      <td>510115</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.993996</td>\n",
       "      <td>0.993995</td>\n",
       "      <td>0.026206</td>\n",
       "      <td>POLYGON ((103.71485 30.86386, 103.71585 30.862...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>金堂县</td>\n",
       "      <td>510121</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.548990</td>\n",
       "      <td>2.548992</td>\n",
       "      <td>0.109013</td>\n",
       "      <td>POLYGON ((104.49533 30.93919, 104.49558 30.939...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>郫都区</td>\n",
       "      <td>510124</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.217965</td>\n",
       "      <td>1.217965</td>\n",
       "      <td>0.041267</td>\n",
       "      <td>POLYGON ((103.77771 30.96121, 103.77911 30.960...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>大邑县</td>\n",
       "      <td>510129</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.428597</td>\n",
       "      <td>2.428597</td>\n",
       "      <td>0.113637</td>\n",
       "      <td>POLYGON ((103.11740 30.79702, 103.11741 30.796...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>蒲江县</td>\n",
       "      <td>510131</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.452034</td>\n",
       "      <td>1.452033</td>\n",
       "      <td>0.054485</td>\n",
       "      <td>POLYGON ((103.68133 30.27418, 103.68085 30.274...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>新津县</td>\n",
       "      <td>510132</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.873948</td>\n",
       "      <td>0.873948</td>\n",
       "      <td>0.031103</td>\n",
       "      <td>POLYGON ((103.91963 30.36274, 103.91919 30.362...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>都江堰市</td>\n",
       "      <td>510181</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.034713</td>\n",
       "      <td>2.034714</td>\n",
       "      <td>0.113709</td>\n",
       "      <td>POLYGON ((103.77771 30.96121, 103.77630 30.961...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>彭州市</td>\n",
       "      <td>510182</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.128521</td>\n",
       "      <td>2.128521</td>\n",
       "      <td>0.134319</td>\n",
       "      <td>POLYGON ((104.11761 31.03188, 104.11743 31.031...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>邛崃市</td>\n",
       "      <td>510183</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.397509</td>\n",
       "      <td>2.397510</td>\n",
       "      <td>0.129317</td>\n",
       "      <td>POLYGON ((103.70562 30.43709, 103.70434 30.436...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>崇州市</td>\n",
       "      <td>510184</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>2.193338</td>\n",
       "      <td>2.193339</td>\n",
       "      <td>0.102694</td>\n",
       "      <td>POLYGON ((103.43061 30.88060, 103.42939 30.878...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>武侯区</td>\n",
       "      <td>510107</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.715112</td>\n",
       "      <td>0.569811</td>\n",
       "      <td>0.008688</td>\n",
       "      <td>POLYGON ((104.07713 30.59229, 104.00922 30.592...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>高新区</td>\n",
       "      <td>510107</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>0.715112</td>\n",
       "      <td>0.291560</td>\n",
       "      <td>0.002789</td>\n",
       "      <td>POLYGON ((104.07713 30.59229, 104.07675 30.591...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>天府新区</td>\n",
       "      <td>510122</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.984275</td>\n",
       "      <td>1.167820</td>\n",
       "      <td>0.057835</td>\n",
       "      <td>POLYGON ((103.97310 30.30938, 103.97984 30.317...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>双流区</td>\n",
       "      <td>510122</td>\n",
       "      <td>510100</td>\n",
       "      <td>510000</td>\n",
       "      <td>成都市</td>\n",
       "      <td>四川省</td>\n",
       "      <td>1.984275</td>\n",
       "      <td>1.296602</td>\n",
       "      <td>0.042520</td>\n",
       "      <td>POLYGON ((104.04370 30.53334, 104.04471 30.532...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID DISTNAME DISTCODE CITYCODE PROVCODE CITYNAME PROVNAME  \\\n",
       "0          1      简阳市   512081   512000   510000      资阳市      四川省   \n",
       "1          2      锦江区   510104   510100   510000      成都市      四川省   \n",
       "2          3      青羊区   510105   510100   510000      成都市      四川省   \n",
       "3          4      金牛区   510106   510100   510000      成都市      四川省   \n",
       "4          5      成华区   510108   510100   510000      成都市      四川省   \n",
       "5          6     龙泉驿区   510112   510100   510000      成都市      四川省   \n",
       "6          7     青白江区   510113   510100   510000      成都市      四川省   \n",
       "7          8      新都区   510114   510100   510000      成都市      四川省   \n",
       "8          9      温江区   510115   510100   510000      成都市      四川省   \n",
       "9         10      金堂县   510121   510100   510000      成都市      四川省   \n",
       "10        11      郫都区   510124   510100   510000      成都市      四川省   \n",
       "11        12      大邑县   510129   510100   510000      成都市      四川省   \n",
       "12        13      蒲江县   510131   510100   510000      成都市      四川省   \n",
       "13        14      新津县   510132   510100   510000      成都市      四川省   \n",
       "14        15     都江堰市   510181   510100   510000      成都市      四川省   \n",
       "15        16      彭州市   510182   510100   510000      成都市      四川省   \n",
       "16        17      邛崃市   510183   510100   510000      成都市      四川省   \n",
       "17        18      崇州市   510184   510100   510000      成都市      四川省   \n",
       "18        19      武侯区   510107   510100   510000      成都市      四川省   \n",
       "19        20      高新区   510107   510100   510000      成都市      四川省   \n",
       "20        21     天府新区   510122   510100   510000      成都市      四川省   \n",
       "21        22      双流区   510122   510100   510000      成都市      四川省   \n",
       "\n",
       "    SHAPE_LENG  Shape_Le_1  Shape_Area  \\\n",
       "0     2.894016    2.894016    0.208108   \n",
       "1     0.543100    0.543100    0.005721   \n",
       "2     0.638742    0.638740    0.006232   \n",
       "3     1.076539    1.076541    0.010065   \n",
       "4     0.768822    0.768824    0.010192   \n",
       "5     1.335728    1.335729    0.052623   \n",
       "6     1.348517    1.348519    0.036493   \n",
       "7     1.697892    1.697894    0.045477   \n",
       "8     0.993996    0.993995    0.026206   \n",
       "9     2.548990    2.548992    0.109013   \n",
       "10    1.217965    1.217965    0.041267   \n",
       "11    2.428597    2.428597    0.113637   \n",
       "12    1.452034    1.452033    0.054485   \n",
       "13    0.873948    0.873948    0.031103   \n",
       "14    2.034713    2.034714    0.113709   \n",
       "15    2.128521    2.128521    0.134319   \n",
       "16    2.397509    2.397510    0.129317   \n",
       "17    2.193338    2.193339    0.102694   \n",
       "18    0.715112    0.569811    0.008688   \n",
       "19    0.715112    0.291560    0.002789   \n",
       "20    1.984275    1.167820    0.057835   \n",
       "21    1.984275    1.296602    0.042520   \n",
       "\n",
       "                                             geometry  \n",
       "0   POLYGON ((104.87300 30.51160, 104.87300 30.511...  \n",
       "1   POLYGON ((104.13780 30.62028, 104.13918 30.620...  \n",
       "2   POLYGON ((103.94156 30.72649, 103.94223 30.725...  \n",
       "3   POLYGON ((104.13695 30.74670, 104.13652 30.746...  \n",
       "4   POLYGON ((104.13695 30.74670, 104.13795 30.744...  \n",
       "5   POLYGON ((104.43712 30.66993, 104.43719 30.669...  \n",
       "6   POLYGON ((104.34159 30.90460, 104.34202 30.904...  \n",
       "7   POLYGON ((104.14722 30.91626, 104.14741 30.916...  \n",
       "8   POLYGON ((103.71485 30.86386, 103.71585 30.862...  \n",
       "9   POLYGON ((104.49533 30.93919, 104.49558 30.939...  \n",
       "10  POLYGON ((103.77771 30.96121, 103.77911 30.960...  \n",
       "11  POLYGON ((103.11740 30.79702, 103.11741 30.796...  \n",
       "12  POLYGON ((103.68133 30.27418, 103.68085 30.274...  \n",
       "13  POLYGON ((103.91963 30.36274, 103.91919 30.362...  \n",
       "14  POLYGON ((103.77771 30.96121, 103.77630 30.961...  \n",
       "15  POLYGON ((104.11761 31.03188, 104.11743 31.031...  \n",
       "16  POLYGON ((103.70562 30.43709, 103.70434 30.436...  \n",
       "17  POLYGON ((103.43061 30.88060, 103.42939 30.878...  \n",
       "18  POLYGON ((104.07713 30.59229, 104.00922 30.592...  \n",
       "19  POLYGON ((104.07713 30.59229, 104.07675 30.591...  \n",
       "20  POLYGON ((103.97310 30.30938, 103.97984 30.317...  \n",
       "21  POLYGON ((104.04370 30.53334, 104.04471 30.532...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cddistrictlayer = gpd.read_file('./data/cddistrict.geojson')\n",
    "cddistrictlayer.plot()\n",
    "plt.show()\n",
    "cddistrictlayer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>description</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>begin</th>\n",
       "      <th>end</th>\n",
       "      <th>altitudeMode</th>\n",
       "      <th>tessellate</th>\n",
       "      <th>extrude</th>\n",
       "      <th>visibility</th>\n",
       "      <th>drawOrder</th>\n",
       "      <th>icon</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((104.02373 30.78543, 104.08913 30.791...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Name description timestamp begin   end altitudeMode  tessellate  extrude  \\\n",
       "0  None        None      None  None  None         None          -1        0   \n",
       "\n",
       "   visibility drawOrder  icon  \\\n",
       "0          -1      None  None   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((104.02373 30.78543, 104.08913 30.791...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 环\n",
    "cdbdlayer = gpd.read_file('./data/cdbd.geojson')\n",
    "cdbdlayer.plot()\n",
    "plt.show()\n",
    "cdbdlayer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 叠加显示\n",
    "ax = cddistrictlayer.plot(figsize=(10,10))\n",
    "ax = cdbdlayer.plot(ax=ax, edgecolor=(1,1,0,1),color=(0,0,0,0))\n",
    "parkslayer.plot(ax=ax,color=(1,0,0,1),marker='.')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "人民公园位于青羊区\n"
     ]
    }
   ],
   "source": [
    "park1 = parkslayer.loc[0] # 返回索引为0的列，返回一个字典 {xx:yy, mm:nn}\n",
    "geom = park1['geometry']\n",
    "rs = cddistrictlayer.contains(geom)\n",
    "rgidx = rs[rs==True].index\n",
    "rgname=cddistrictlayer.loc[rgidx, 'DISTNAME'].values[0]\n",
    "print(f'{park1[\"name\"]}位于{rgname}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "青龙湖湿地公园位于龙泉驿区\n"
     ]
    }
   ],
   "source": [
    "def calcregion(park):\n",
    "    geom = park['geometry']\n",
    "    rs = cddistrictlayer.contains(geom)\n",
    "    rgidx=rs[rs==True].index\n",
    "    rgname=cddistrictlayer.loc[rgidx, 'DISTNAME'].values[0]\n",
    "    return rgname\n",
    "park2 = parkslayer.loc[1]\n",
    "rgname2 = calcregion(park2)\n",
    "print(f'{park2[\"name\"]}位于{rgname2}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       青羊区\n",
       "1      龙泉驿区\n",
       "2      天府新区\n",
       "3       新都区\n",
       "4      天府新区\n",
       "       ... \n",
       "145     高新区\n",
       "146     高新区\n",
       "147     邛崃市\n",
       "148     郫都区\n",
       "149     新都区\n",
       "Length: 150, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rgnames = parkslayer.apply(calcregion, axis=1)\n",
    "rgnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "双流区      7\n",
       "大邑县      1\n",
       "天府新区    18\n",
       "崇州市      6\n",
       "彭州市      5\n",
       "成华区     17\n",
       "新津县      7\n",
       "新都区     13\n",
       "武侯区      6\n",
       "温江区      6\n",
       "简阳市      3\n",
       "邛崃市      2\n",
       "郫都区      8\n",
       "都江堰市     5\n",
       "金堂县      3\n",
       "金牛区     12\n",
       "锦江区      7\n",
       "青白江区     2\n",
       "青羊区      9\n",
       "高新区      6\n",
       "龙泉驿区     7\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rgnum=rgnames.groupby(rgnames).count()\n",
    "rgnum"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pygis",
   "language": "python",
   "name": "pygis"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
